AI-Powered System in Russia Aims to Replace Breathalyzers
The video-based platform evaluates sobriety, fatigue, and cognitive performance without physical testing.
Specialists at the Tsentr Proektnoy Deyatelnosti Moskovskogo Politekhnicheskogo Universiteta (Project Activity Center of Moscow Polytechnic University) are developing a contactless system for assessing a person’s condition, Russia’s Ministry of Science and Higher Education said.
The system, called Zenitsa (Pupil of the Eye), analyzes video to determine not only sobriety but also fatigue and cognitive performance. It does so without the use of breathalyzers, medical examinations, or laboratory tests.
The technology is based on the assumption that fatigue, intoxication, or stress are reflected in physiological parameters. The system processes video streams from standard cameras or mobile terminals. Computer vision algorithms detect the face and eyes, after which neural networks analyze the data.
The AI simultaneously monitors several parameters, including pupil dynamics, facial micro-expressions, and overall behavior, then classifies a person’s condition as normal, fatigued, intoxicated, or stressed.
Continuous Workforce Monitoring
The system is intended for sectors where employee condition is critical, including transport, energy, mining, and metallurgy. Cameras can assess a worker’s condition not only before a shift begins but throughout the workday.
He added that the team combines computer vision with temporal models, enabling analysis of not just static images but changes in a person’s condition over time. The system can be integrated with existing corporate platforms.
A prototype is currently being tested under laboratory conditions. By the end of the year, developers plan to trial the finished system in real-world environments. To verify accuracy, the platform will be benchmarked against certified breathalyzers and fatigue tests.
